Content-Aware Persistent Ad Delivery via VDNA Fingerprinting
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Solution Overview
Problem
Current contextual advertising methods fail to accurately and automatically select relevant advertisements for media content on various devices, as they rely on unverified metadata and cannot combine all retrievable information to choose the most accurate and user-prone ads, especially for video or audio content, and lack the ability to apply business rules across different terminal devices.
Innovation Solution
A content-aware persistent advertisement system that extracts and collects VDNA fingerprints of media content on network-enabled terminals, sending them to a content identification server along with metadata and user information to select and push relevant advertisements, utilizing advanced software components and algorithms for efficient media identification and advertisement selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If contextual advertising uses keywords and metadata to select advertisements, then advertisement delivery can be automated, but the accuracy and relevance of selected advertisements deteriorate because metadata is unverified and limited
Solution Approach 1:
The system performs preliminary content identification and verification before advertisement selection. By using content fingerprinting technology to identify and verify media content in advance, the system ensures accurate content recognition before selecting relevant advertisements, thereby improving both automation and selection accuracy simultaneously
Solution Approach 2:
The patent introduces content fingerprinting technology as an intermediary between content delivery and advertisement selection. This intermediary mechanism extracts unique fingerprints from media content to enable precise content identification, serving as a bridge that connects automated delivery with accurate advertisement matching
2Reliability
If the system collects and processes comprehensive information including fingerprints, metadata, and user data, then advertisement relevance improves, but system complexity and processing requirements increase
Solution Approach 1:
The system segments the complex information processing into distinct modules: fingerprint extraction module, metadata collection module, user data acquisition module, and advertisement selection module. Each module handles specific data types independently, reducing overall system complexity while maintaining comprehensive information processing capabilities for high advertisement relevance
Solution Approach 2:
The patent creates a universal content identification framework that handles multiple data types (fingerprints, metadata, user information) through a single integrated system. This multi-functional approach consolidates various information processing tasks into one system, improving advertisement relevance without proportionally increasing complexity
3Adaptability or versatility
If content fingerprinting is used to identify media content across multiple devices, then persistent advertisement delivery is enabled, but bandwidth consumption increases due to transmitting fingerprint data
Solution Approach 1:
The system extracts only the essential fingerprint features from complete media content rather than transmitting or processing entire content files. By taking out only the critical identification elements (compact fingerprints), the system enables cross-device content recognition while minimizing data transmission and bandwidth consumption
Data Source
AI summary
A method and system of providing content-aware persistent advertisements comprises the steps of ingesting and collecting VDNA (Video DNA) fingerprints of media contents playing on various network-enabled terminals including Internet browsers, mobile devices, tablets, smart televisions and so on; sending the ingested fingerprints along with other information such as metadata, user's location, etc, to the content identification server via Internet or mobile networks, and selecting accurate advertisements according to the media content and relevant information, then finally pushing the advertisements back to user's terminal. With VDNA fingerprint identification, media contents are identified by content instead of metadata or other surrounding information, so that the result of identification can be considered genuine, and the chosen advertisements based on the media content can be persistent across multiple terminals playing the same media content.